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Compare GPU and LLM inference API pricing between EcoHash and Oracle Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $2.61/hour between comparable GPUs
| GPU Model ↑ | EcoHash Price | Oracle Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Oracle Cloud | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Oracle Cloud | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Oracle Cloud | Not Available | — | ||
B200 180GB VRAM • | ||||
GB200 384GB VRAM • Oracle Cloud | Not Available | — | ||
GB200 384GB VRAM • | ||||
GB300 576GB VRAM • Oracle Cloud | Not Available | — | ||
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Oracle Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Oracle Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Oracle Cloud | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Oracle Cloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Oracle Cloud | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI355X 288GB VRAM • Oracle Cloud | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashOracle Cloud | ↓$2.61(58.0%) | |||
RTX PRO 6000 96GB VRAM • $1.89/hour Updated: 8/28/2026 ★Best Price $4.50/hour Updated: 8/30/2026 Price Difference:↓$2.61(58.0%) | ||||
A10 24GB VRAM • Oracle Cloud | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Oracle Cloud | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Oracle Cloud | Not Available | — | ||
B200 180GB VRAM • | ||||
GB200 384GB VRAM • Oracle Cloud | Not Available | — | ||
GB200 384GB VRAM • | ||||
GB300 576GB VRAM • Oracle Cloud | Not Available | — | ||
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Oracle Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Oracle Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Oracle Cloud | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Oracle Cloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Oracle Cloud | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI355X 288GB VRAM • Oracle Cloud | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashOracle Cloud | ↓$2.61(58.0%) | |||
RTX PRO 6000 96GB VRAM • $1.89/hour Updated: 8/28/2026 ★Best Price $4.50/hour Updated: 8/30/2026 Price Difference:↓$2.61(58.0%) | ||||
| Model ↑ | EcoHash | Oracle Cloud | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.910 in $2.72 out | Not available | — |
Zhipu | $1.00 in $3.00 out | Not available | — |
Z AI | $1.25 in $4.30 out | Not available | — |
Moonshot | $2.00 in $12.00 out | Not available | — |
Meta | $0.100 in $0.100 out | Not available | — |
MiniMax | $0.200 in $0.900 out | Not available | — |
Alibaba | $0.150 in $0.500 out | Not available | — |
Alibaba | $0.400 in $0.400 out | Not available | — |
Alibaba | $1.90 in $5.70 out | Not available | — |
Alibaba | $0.400 in $0.800 out | Not available | — |
Alibaba | $0.400 in $0.400 out | Not available | — |
OpenAI | $100.00 in $0.0000 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Offers configurations with 1, 2, 4, or 8 RTX Pro 6000 GPUs.
Supports automatic selection of LoRA/QLoRA fine-tuning over 1-4 GPUs.
Provides an API compatible with OpenAI for various AI models.
Users get full root access with shared filesystems on RTX Pro environments.
Inference endpoints can be deployed across multiple regions with failover.
Bare‑metal and VM shapes for AI/HPC.
Create an account on the EcoHash platform.
Select the desired GPU instances for your project.
Consult the EcoHash documentation to understand available features.
Launch your GPU environment for training or inference.
Start using the API for model inference or training tasks.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.